30 research outputs found

    Darmstadt Service Review Corpus

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    The Darmstadt Service Review Corpus consists of consumer reviews annotated with opinion related information at the sentence and expression levels

    Postural stability, spinal alignment, mobility, and postural competency in women with unilateral lower extremity lymphedema after radical hysterectomy following gynecologic cancer: A case-control study

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    Purpose: To compare postural stability, spinal alignment, mobility, and postural competency in women with unilateral lower extremity lymphedema after radical hysterectomy following gynecologic cancer with a matched control group. Methods: Twenty-seven women with unilateral lower extremity lymphedema (lymphedema group, age: 54.14 ± 5.80 years) and 30 healthy women (control group, age: 51.90 ± 6.54 years) were included. The lymphedema severity was evaluated with circumferential measurements. Postural stability with the Biodex Balance System SD and the spinal alignment, mobility, and postural competency with the Spinal Mouse device were assessed. Results: In the lymphedema group, it was found that 3.7% of the women had mild lymphedema, 7.4% had moderate lymphedema, and 88.9% had severe lymphedema. Static eyes open (EO) (overall, medio-lateral and antero-posterior) and eyes closed (EC) (antero-posterior) stability scores and dynamic EO and EC stability scores (overall and antero-posterior) were detected to be higher in the lymphedema group than in the controls (p 0.05). Conclusion: Decreased postural stability, spinal mobility, and postural competency were detected in women with unilateral lower extremity lymphedema; however, no difference was seen in spinal alignment. These changes should be taken into account in the assessment and the treatment of unilateral lower extremity lymphedema. © 2023 Elsevier Lt

    Document Level Subjectivity Classification Experiments in DEFT'09 Challenge

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    In this paper, we present our supervised document level subjectivity classification experiments for English and French at the DEFT’09 Text Mining Challenge. We experiment with the word, POS, and lexicon-based features using an SVM classifier. Our word feature experiments (i) investigate the utility of the context information, and (ii) compare the binary and tf*idf feature representations in this task. We show that different class distributions favor different feature representations. Furthermore, on the English collection, we compare three, two of which are well-known, opinon lexicons at this task: the subjectivity clues from (Wiebe and Riloff, 2005; Wilson et al., 2005), SentiWordNet (Esuli and Sebastiani, 2006), and a list of verbs compiled from (Santini, 2007; Biber et al., 1999)1 . We show that, despite its limited coverage, the verb lexicon, consisting of 156 verbs, establishes relatively good results in English

    Subjective Verbs Lexicons

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    The English lexicons on this page originate from the works below: * Biber, D., Johansson, S., Leech, G., Conrad, S., and Finegan, E. (1999). Longman Grammar of Spoken and Written English. Pearson Education Limited. * Santini, M. (January 2007). Automatic Identification of Genre in Web Pages. PhD thesis, University of Brighton (UK). The French lexicons are manually translated from the English lexicons. Both lexicons were used in document level subjectivity analysis experiments

    Sentence and expression level annotation of opinions in user-generated discourse

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    www.ukp.tu-darmstadt.de In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websites annotated with opinion-related information. We present a two-level annotation scheme. In the first stage, the reviews are analyzed at the sentence level for (i) relevancy to a given topic, and (ii) expressing an evaluation about the topic. In the second stage, on-topic sentences containing evaluations about the topic are further investigated at the expression level for pinpointing the properties (semantic orientation, intensity), and the functional components of the evaluations (opinion terms, targets and holders). We discuss the annotation scheme, the inter-annotator agreement for different subtasks and our observations.

    Methylation of RARß is a new clinical biomarker for treatment in higher-grade gliomas

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    Background: The dysregulation of various pathways and cellular processes contributes to the carcinogenic transition from low-grade gliomas to high-grade gliomas. The altered tumor microenvironment, altered epigenetic state, and high mutation heterogeneity are critical factors in glial tumors. The morphogen retinoic acid (RA) controls the homeostasis, regeneration, and development of the brain. RA receptor (RAR) gene methylation has been shown in different types of glial tumors. Aims and Objectives: This study assessed the RARß gene as a potential therapeutic target in gliomas. Materials and Methods: Using in silico methods, potential drugs targeting the RARß gene were compared based on temozolomide's effectiveness in treating gliomas. Results and Conclusion: Computational techniques can be used to identify drug-mediated pathways. This in silico study holds promise for RARB and RARB-targeted treatment strategies in gliomas
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